Research Article
Detecting Urban Functional Area Based on Clustering on Base Station Data
@INPROCEEDINGS{10.4108/eai.27-8-2020.2296733, author={Yuan Cheng and Yahong Wang and Ronghua Chi}, title={Detecting Urban Functional Area Based on Clustering on Base Station Data}, proceedings={Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020, 27-28 August 2020, Cyberspace}, publisher={EAI}, proceedings_a={MOBIMEDIA}, year={2020}, month={11}, keywords={urban functional area uncertain clustering base station data calling behaviors}, doi={10.4108/eai.27-8-2020.2296733} }
- Yuan Cheng
Yahong Wang
Ronghua Chi
Year: 2020
Detecting Urban Functional Area Based on Clustering on Base Station Data
MOBIMEDIA
EAI
DOI: 10.4108/eai.27-8-2020.2296733
Abstract
Detecting urban functional area can contribute to rational planning of urban functions, which is conducive to urban construction. Because the call data correlates with the users' locations and their behavior characteristics, we use the uncertain clustering method to find the aggregate characteristics of the users' calling behaviors, based on the data produced by base station providing the communication services, and then analyze the related land functions. Finally, we will verify the effectiveness of the proposed method through experimental results.
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